Mutable

Accuracy and quality provide sound baselines, but are terribly insufficient for the use cases where generative AI has the most potential: open-ended, free-form tasks in enterprise settings. Flashing and accuracy and quality score as a vendor selling generative AI to enterprises is an improvement over vague claims of "reliability," but mostly meaningless. Enterprises don't want some general claim of strength. They want to know where and how your product excels in terms that are relevant to their work. https://lnkd.in/eCvYgvxT

Mutable can proudly certify Clarum (YC W24) as SOTA (state-of-the-art) for investment research and due diligence tasks. We pressure tested their application on a large sample of realistic tasks and scenarios with a pipeline of professionals in private equity, investment banking, and other transaction services for robustness. The potential for generative AI to hallucinate or underperform poses a significant challenge to investment managers and allocators looking to adopt it for high stakes work. If you’re in the financial services space and you need enterprise-grade reliability, this type of auditing and accreditation is an absolute must. We’re happy to offer it. 

Mutable exists because nothing you're doing today to mitigate concerns about your generative AI product's quality likely suffices. Large language models are unpredictable, sometimes too much for enterprises to even consider adopting. If you're building a product with language models, chances are you've put in the engineering man-hours to improve the quality of results and domain-specific performance. But your prospects can't see that, much less trust it. And you're losing their buy-in and adoption because of that. Here's what you can (and should) do to make sure they not only know, but believe, that your product can consistently and credibly deliver. https://lnkd.in/eSZD3gRf